超细全尾砂充填体动态力学特性研究

充填体作为人工矿柱,为矿房回采创造了条件,但经常受到爆破等冲击荷载作用。充填体的动态力学特性直接关系到充填采矿法的安全高效实施。通过单轴压缩试验和分离式霍布金森压杆(Split Hobkinson Pressure Bar,SHPB)试验技术,进行了不同充填配比参数的超细全尾砂充填体压缩试验,得到其静载和动载下的应力-应变曲线和能量变化曲线,并分析了其破坏模式。研究表明:充填体质量浓度越高,灰砂比越大,峰值应力和峰值应变随之增大,呈现正相关性,其中灰砂比和质量浓度对应力的影响相对一致,但应变受质量浓度影响更大;当冲击荷载由0.3 MPa增大至0.6 MPa时,充填体的破坏形式由保持完整形态变为产生裂纹,直至被压碎,转变为完全失稳破坏状态;充填体能量吸收随着冲击荷载的增加而逐渐递增,但质量浓度和灰砂比增大时,充填体比能量和能量吸收率反而下降,其中灰砂比是影响充填体吸能效率的主要因素,质量浓度次之。     

大采高工作面过断层破碎带围岩控制技术研究

为了研究大采高工作面断层破碎带围岩控制技术,采用UDEC分别模拟工作面揭露断层前后围岩应力变化规律、揭露断层时覆岩运移规律。根据模拟结果可知,断层导致工作面应力呈"几"字型分布及顶底板变形量增大。在断层影响区域采用锚网索、单体液压支柱挑棚联合支护取得了良好的效果。     

孤岛工作面撤出支架时的顶板加固及撤出工艺

11210高水充填工作面作为孤岛工作面,末采阶段顶板压力大。采用锚网支护控制工作面顶板,撤架时利用掩护架保证撤架空间安全,利用移架平台撤出剩余支架,实现了安全生产。     

2 500 t/d生产线煅烧高镁熟料的生产应用

四川省兆迪水泥有限责任公司2500t/d新型干法熟料生产线,于2014年7月11日重建点火投产。生产过程中针对工厂高镁石灰石的原料特点,注意总结工艺操作、熟料质量等方面的经验,采取了积极有效的措施,取得了较好的效果。     

辛置煤矿10#煤综采工作面防灭火技术研究与应用

针对辛置煤矿10#煤综采工作面煤层自然发火的特点,采用现场实测分析及注胶防灭火的方法,对工作面煤体漏风情况、回采巷道内风流温度、CO及CH4浓度进行了监测,并应用了注胶防灭火的技术。针对工作面煤体内多处漏风严重,应用粉煤灰、高分子胶体注胶技术进行防治后,各监测点风流温度及煤层温度均得到有效降低,保证了工作面安全推进。     

综放工作面风量及采空区漏风定量检测

通过对中煤塔山煤矿30509综放工作面采空区漏风及有害气体分析的研究，总结了通过定量连续释放SF₆示踪气体，来检测工作面风量与采空区漏风的方法，测定了沿工作面采空区的漏风分布及漏风流线的深度。采用定时测量法，确定了30509工作面随工作面不断推进，与对应地表发生了导通现象；采用定量测量法，确定了内部漏风量和外部漏风量较大，对综采工作面采空区自然发火存在较大风险，同时提出了防范措施，为减少综放工作面采空区漏风、防止自然发火的发生提供了参考。     

综采工作面过上覆煤柱技术研究

近距离上层煤开采过后留有许多残余煤柱,这些煤柱往往导致下层煤开采过程中出现强烈的矿压显现情况。针对综采工作面过上覆采空区煤柱矿压显现剧烈的问题,以山西上榆泉煤矿工作面地质条件为基础,对相邻43303工作面回采过程中的矿压显现情况进行了总结分析,确定上层煤煤柱与本层煤顶板形成的次生顶板结构是造成工作面来压强度增大的主要原因,并从43302工作面过上覆煤柱前、中、后三个阶段,制定了改变采高、调斜、顶板预裂以及加快工作面推进速度等技术措施。根据现场实践效果,采用该措施能够减弱工作面矿压显现强度,改善工作面片帮、冒顶等情况,实现对工作面降压的目的,具有良好的应用效果。     

矿用可移动式救生舱的构成及安放

该文对矿用可移动式救生舱进行了分类,对比了各自的优缺点,指出国内厂家和高校均以硬体式救生舱作为主要研究对象;随后着重对此种救生舱的总体构成进行了说明,介绍了过渡舱、生活舱和设备舱的具体功能和内部设备;最后论述了几种固定和安放方式的利弊,指出在实际应用中,应根据所在巷道的地质特点合理选择安置方案。     

Geothermal energy utilization trends from a technological paradigm perspective

The use of geothermal energy and its associated technologies has been increasing worldwide. However, there has been little paradigmatic research conducted in this area. This paper proposes a systematic methodology to research the development trends for the sustainable development of geothermal energy. A novel data analysis system was created to research the geothermal energy utilization trends, and a technological paradigm theory was adopted to explain the technological changes. A diffusion velocity model was used to simulate and forecast the geothermal power generation development in the diffusion phase. Simulation results showed that the development of installed capacity for geothermal generation had a strong inertia force along with the S-curve. Power generation from geothermal power sources reached a peak in 2008 and is estimated to be saturated by 2030. Geothermal energy technologies in hybrid power systems based on other renewable energy sources look to be more promising in the future.     

Simplifying the powder metallurgy manufacturing process using soft computing tools

The tools of soft computing will aid the knowledge mining in predicting and classifying the properties of various parameters while designing the composite preforms in the manufacturing of Powder Metallurgy (P/M) Lab. In this paper, an integrated PRNET (PCA-Radial basis functional neural NET) model is proposed in different versions to select the relevant parameters for preparing composite preforms and to predict the deformation and strain hardening properties of Al–Fe composites. It reveals that the predictability of this model has been increased by 67.89% relatively from the conventional models. A new PR-filter is proposed by slightly modifying the conventional filters of RBFNN, which improves the power of PRNET even though raw data are highly non-linear, interrelated and noisy. Moreover, fixing the range of input parameters for classifying the properties of composite preforms can be automated by the Fuzzy logic. These types of models will avoid expensive experimentation and risky environment while preparing sintered composite preforms. Thus the manufacturing process of composites in P/M Lab will be simplified with minimum energy by the support of these soft-computing tools.